A simple LSTM network for sequence labelling of web-scraped text
We first extract some text from semanticlaly related and pre-selected articles from Wikipedia, preprocess and run it through an NLTK POS tagger. Then we use these tags as labels and redefine the problem as a sequence labelling task using an LSTM network.
Prerequisites:
sklearn
tensorflow
keras
numpy
nltk